AI Engineer Β· Agentic Systems Β· Performance Optimization Β· Robotics
- π Building agentic AI systems and cognitive architectures for real-world decision support
- π§ Focused on memory, reasoning, and tool-using agents that scale reliably
- βοΈ Performance-minded across pipelines and systems, from Big Data to Rust
- π€ Exploring robotics and embodied AI for grounded, autonomous behavior
- π± Always pushing the frontier where AI meets real-world constraints
| Repository | Description | Topics |
|---|---|---|
| cognition | Rust-based cognitive computing and high-performance agent experiments | rust cognition performance |
| agent-memory-cognitive | Cognitive memory architectures for long-lived AI agents | agentic-ai memory research |
| bridge-research | Research on bridging planning, reasoning, and action in agents | agentic-ai research |
| lerobot | Robotics and embodied-agent experiments | robotics embodied-ai |
| math-ai-connect | Math & AI educational content platform with applied agent focus | education ai |
| aegis-ma | Multi-agent architecture for coordination and safety | multi-agent python |
| itapia | Explainable AI co-pilot for retail investors with transparent signals | llm finance explainability |
- mcp-fin-test
- SeEvoDJSSP
- arch-lens-ai
- app-log-process-k8s
- otto-rec-sys
- KaggleCompetition
- ez_cli
- excel2md
- triet4p.github.io
- NoteApp
- SearchAppQt
- magma_obby